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When a column serves as both a primary and foreign key, dm refuses to flatten the model. Below is a minimal example.
mydm <- dm( x = tibble(a = 1, b = 2), y = tibble(c = 2, d = 3), z = tibble(e = 2, f = 4) ) %>% dm_add_pk(x, a) %>% dm_add_pk(y, c) %>% dm_add_pk(z, e) %>% dm_add_fk(x, b, y) %>% dm_add_fk(y, c, z)
Diagram:
mydm %>% dm_draw(view_type = "all")
mydm %>% dm_flatten_to_tbl(x, .recursive = TRUE)
Output:
Error in `join()`: ! Join columns in `x` must be present in the data. ✖ Problem with `c`. Run `rlang::last_trace()` to see where the error occurred.
Expected output:
# A tibble: 1 × 4 a b d f <dbl> <dbl> <dbl> <dbl> 1 1 2 3 4
The text was updated successfully, but these errors were encountered:
Thanks, confirmed. For some reason, reprex fails to render the code correctly.
library(dm) mydm <- dm( x = tibble(a = 1, b = 2), y = tibble(c = 2, d = 3), z = tibble(e = 2, f = 4) ) %>% dm_add_pk(x, a) %>% dm_add_pk(y, c) %>% dm_add_pk(z, e) %>% dm_add_fk(x, b, y) %>% dm_add_fk(y, c, z) mydm %>% dm_draw() mydm %>% dm_flatten_to_tbl(x, .recursive = TRUE)
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When a column serves as both a primary and foreign key, dm refuses to flatten the model. Below is a minimal example.
Diagram:
Flattening the model
Output:
Expected output:
The text was updated successfully, but these errors were encountered: